FPGA Implementation of Artificial Neural Networks for Model Predictive Control

Traditionally, the real-time implementation of Model Predictive Control (MPC) has been limited by processing and storage requirements. Recently, the idea of using Artificial Neural Networks (ANN) to approximate MPC control laws, including implementations on Field Programmable Gate Array (FPGA), has...

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Bibliographische Detailangaben

Veröffentlicht in:	2024 IEEE International Conference on Automation/XXVI Congress of the Chilean Association of Automatic Control (ICA-ACCA) S. 1 - 6
Hauptverfasser:	VaAsquez, Juan J., CortaEs, Alfonso, Silva, CaEsar, Aguero, Juan C., Carvajal, Gonzalo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 20.10.2024
Schlagworte:	artificial neural network Artificial neural networks field programmable gate array Field programmable gate arrays Hardware hls4ml Logic gates model predictive control Predictive control Predictive models quantization Quantization (signal) Real-time systems Software
Online-Zugang:	Volltext
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